Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK.
Nature. 2024 Oct;634(8035):890-900. doi: 10.1038/s41586-024-07908-w. Epub 2024 Sep 11.
Perceptual decisions rely on learned associations between sensory evidence and appropriate actions, involving the filtering and integration of relevant inputs to prepare and execute timely responses. Despite the distributed nature of task-relevant representations, it remains unclear how transformations between sensory input, evidence integration, motor planning and execution are orchestrated across brain areas and dimensions of neural activity. Here we addressed this question by recording brain-wide neural activity in mice learning to report changes in ambiguous visual input. After learning, evidence integration emerged across most brain areas in sparse neural populations that drive movement-preparatory activity. Visual responses evolved from transient activations in sensory areas to sustained representations in frontal-motor cortex, thalamus, basal ganglia, midbrain and cerebellum, enabling parallel evidence accumulation. In areas that accumulate evidence, shared population activity patterns encode visual evidence and movement preparation, distinct from movement-execution dynamics. Activity in movement-preparatory subspace is driven by neurons integrating evidence, which collapses at movement onset, allowing the integration process to reset. Across premotor regions, evidence-integration timescales were independent of intrinsic regional dynamics, and thus depended on task experience. In summary, learning aligns evidence accumulation to action preparation in activity dynamics across dozens of brain regions. This leads to highly distributed and parallelized sensorimotor transformations during decision-making. Our work unifies concepts from decision-making and motor control fields into a brain-wide framework for understanding how sensory evidence controls actions.
感知决策依赖于感官证据与适当行为之间习得的关联,涉及相关输入的过滤和整合,以准备和执行及时的反应。尽管与任务相关的表示形式具有分布式特性,但仍不清楚如何在大脑区域和神经活动的维度之间协调感官输入、证据整合、运动规划和执行之间的转换。在这里,我们通过记录学习报告模糊视觉输入变化的小鼠的全脑神经活动来解决这个问题。在学习后,证据整合出现在大多数大脑区域中,稀疏的神经元群体驱动运动准备活动。视觉反应从感觉区域的短暂激活演变为额-运动皮层、丘脑、基底神经节、中脑和小脑的持续代表,从而实现并行证据积累。在积累证据的区域中,共享的群体活动模式对视觉证据和运动准备进行编码,与运动执行动态不同。运动准备子空间中的活动由整合证据的神经元驱动,在运动开始时崩溃,从而允许整合过程重置。在运动前区域中,证据整合的时间尺度与内在区域动态无关,因此取决于任务经验。总之,学习在数十个大脑区域的活动动态中使证据积累与动作准备保持一致。这导致了决策过程中高度分布式和并行的感觉运动转换。我们的工作将决策和运动控制领域的概念统一到一个全脑框架中,以了解感官证据如何控制动作。